From f1fb56189f591988c561d75699366a7a8caed36c Mon Sep 17 00:00:00 2001 From: fjosw Date: Sun, 17 Sep 2023 16:12:47 +0000 Subject: [PATCH] Documentation updated --- docs/pyerrors/fits.html | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/pyerrors/fits.html b/docs/pyerrors/fits.html index 14824deb..bb34f8d4 100644 --- a/docs/pyerrors/fits.html +++ b/docs/pyerrors/fits.html @@ -279,12 +279,12 @@ 168 ''' 169 output = Fit_result() 170 -171 if (type(x) == dict and type(y) == dict and type(func) == dict): +171 if (isinstance(x, dict) and isinstance(y, dict) and isinstance(func, dict)): 172 xd = {key: anp.asarray(x[key]) for key in x} 173 yd = y 174 funcd = func 175 output.fit_function = func -176 elif (type(x) == dict or type(y) == dict or type(func) == dict): +176 elif (isinstance(x, dict) or isinstance(y, dict) or isinstance(func, dict)): 177 raise TypeError("All arguments have to be dictionaries in order to perform a combined fit.") 178 else: 179 x = np.asarray(x) @@ -1201,12 +1201,12 @@ Hotelling t-squared p-value for correlated fits. 169 ''' 170 output = Fit_result() 171 -172 if (type(x) == dict and type(y) == dict and type(func) == dict): +172 if (isinstance(x, dict) and isinstance(y, dict) and isinstance(func, dict)): 173 xd = {key: anp.asarray(x[key]) for key in x} 174 yd = y 175 funcd = func 176 output.fit_function = func -177 elif (type(x) == dict or type(y) == dict or type(func) == dict): +177 elif (isinstance(x, dict) or isinstance(y, dict) or isinstance(func, dict)): 178 raise TypeError("All arguments have to be dictionaries in order to perform a combined fit.") 179 else: 180 x = np.asarray(x)